Development and Application of AI-Based Therapeutic Strategies for Esophageal Cancer Integrating Multimodal Imaging and Digital Pathology

NCT ID: NCT07203690

Last Updated: 2025-10-02

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

7000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2025-12-01

Study Completion Date

2027-12-01

Brief Summary

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The purpose of this clinical study is to conduct a multi-center, big data study to create a neural network decision model for predicting treatment efficacy and prognosis based on multi-modal, multi-temporal imaging features combined with tumor microenvironment scores. It will also use various model interpretation techniques to clarify the role and mechanism of key biomarkers or strongly associated biomarker groups in treatment efficacy and prognosis. Ultimately, it aims to achieve the research and application of AI treatment strategies combining multi-modal imaging and digital pathology to guide clinicians in the personalized treatment strategies for patients with esophageal squamous cell carcinoma.

Detailed Description

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Conditions

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Esophageal Cancer Neoadjuvant Therapy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Multimodal AI Esophageal Carcinoma Cohort Protocol

Efficacy and Prognosis of Different Treatment Modalities for Esophageal Squamous Cell Carcinoma

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

1. Aged 18-70 years;
2. Histologically confirmed esophageal carcinoma by biopsy;
3. No prior antitumor therapy received.

Exclusion Criteria

1. Contraindications to MRI examination;
2. Poor compliance with antitumor therapy;
3. Unwillingness to participate in the study;
4. Image quality inadequate for diagnostic requirements.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Xinyang Central Hospital

OTHER

Sponsor Role collaborator

Guangdong Provincial People's Hospital

OTHER

Sponsor Role collaborator

Henan Cancer Hospital

OTHER_GOV

Sponsor Role lead

Responsible Party

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Qujinrong

Clinical Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Jinrong Qu

Role: CONTACT

(86) 0371-65587595

Other Identifiers

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2025-066

Identifier Type: -

Identifier Source: org_study_id

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